Andrea Vicari — accepted AI-conference papers

2024

Accurate power consumption estimation method makes walking robots energy efficient and quiet

Giorgio Valsecchi, Andrea Vicari, Fabian Tischhauser, Manolo Garabini, Marco Hutter

IROS 2024

Power consumption is a frequently over-looked aspect in robotics, especially in the context of legged robots. Nevertheless, improving the efficiency of walking robots is crucial to overcome the current limitations in runtime. This work proposes a novel method for precisely estimating actuator power

Cited by 4 Source ↗Scholar ↗

2023

Control and Morphology Optimization of Passive Asymmetric Structures for Robotic Swimming

Nana Obayashi, Andrea Vicari, Kai Junge, Kamran Shakir, Josie Hughes

RA-L 2023

Aquatic creatures exhibit remarkable adaptations of their body to efficiently interact with the surrounding fluid. The tight coupling between their morphology, motion, and the environment are highly complex but serves as a valuable example when creating biomimetic structures in soft robotic swimmers

Cited by 9 Source ↗Scholar ↗